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ml-class-assignment

The assignment of machine learning course for post-graduates at BUAA EE, 2019.

ml2021_groupproject

mmotu_ds2net

mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

pl-zsd_release

This repository provides training and evaluation code for paper titled "Polar Loss for Zero-Shot Object Detection." (Arxiv version) and "Improved Visual-Semantic Alignment for Zero-Shot Object Detection" (accepted in AAAI 2020)

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pretrained_model_pytorch

pytorch pretrained model — resnet, densenet, inception, vgg, squeezenet, alexnet

programmer-job-blacklist

:see_no_evil:程序员找工作黑名单，换工作和当技术合伙人需谨慎啊 更新有赞

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-template

PyTorch deep learning projects made easy.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

redet

Official code of the paper "ReDet: A Rotation-equivariant Detector for Aerial Object Detection" (CVPR 2021)

rotated-retinanet

Rotation RetinaNet for arbitrary-oriented object detection.

rotationdetection

This is a tensorflow-based rotation detection benchmark, also called UranusDet.

rsod-dataset-

An open dataset for object detection in remote sensing images

saliency

Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

sd-aanet

The code is for the paper "A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation"

simclr

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

simclr-1

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

sppr

Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"

study

swissarmytransformer

SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.

sylph-few-shot-detection

Source code for CVPR 2022 paper Sylph A Hypernetwork Framework for Few-shot Object Detection

tade-agnosticlt

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

tane

Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"

tlc

tph-yolov5